Data Scientist / Data Engineer

About

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges—and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day—working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership.

MITRE’s Data Science and Engineering department is looking for qualified applicants to bring their advanced data science, data engineering, machine learning, artificial intelligence, and applied research skills to bear on solving problems of critical national importance. MITRE’s diverse work program provides opportunities to apply your expertise and creative thinking in challenging domains such as national security, intelligence, transportation, and healthcare. Employees may also participate in MITRE’s internal research and development program, which provides funding for innovative applied research that addresses our sponsors’ hardest problems.

Roles & Responsibilities

• Operate across the full data lifecycle from data modeling, processing, and infrastructure engineering to statistical analysis, machine learning, experimentation, and operational deployment.
• Apply advanced analytics, machine learning, and AI techniques to solve mission problems.
• Provide informal guidance to new or junior team members.
• Identify and solve routine problems using technical experience and established precedents within Data Science and Data Engineering.
• Communicate complex information, both written and verbal, to technical and non-technical audiences in routine situations.

Advanced Data Analytics and Artificial Intelligence

• Machine Learning and Model Evaluation (e.g., supervised, unsupervised, deep learning, reinforcement learning)
• Statistical Analysis and Exploratory Data Analysis (e.g., descriptive statistics, regression, visualization)
• Large Language Models and AI-Assisted Workflows
• Natural Language Processing (e.g., summarization, classification, entity recognition, topic modeling)
• Anomaly Detection and Predictive Modeling
• Graph Analytics (e.g. centrality, similarity, link prediction)

Data Engineering

• Distributed Data Processing and Big Data Architectures (e.g., Spark, Hadoop, Ray, Dask, Kafka)
• Data Pipeline/ETL Development and Orchestration (e.g., Airflow, Dagster, NiFi)
• Batch and Streaming Data Processing
• Data Modeling, Schema Design, and Data Quality Assessment
• Data Governance, Access Control, and Secure Data Handling
• Cloud-based Data Platforms and Storage Architectures

Software Development and MLOps

• Computer Programming and Databases – Proficiency in Python and SQL required
• Software Engineering Best Practices (e.g., version control, testing, modular design)
• MLOps and Model Operationalization (e.g., model deployment, monitoring, reproducibility, containerization)
• Linux-based Development Environments, Git, Containers, and Cloud Platforms

Expectations

• As an individual contributor, requires a moderate level of instruction, guidance, and direction from more senior staff and is progressing toward working independently.
• Provides informal guidance to new or junior team members.
• Identifies and solves routine problems; Analyzes possible solutions using technical experience and established precedents within the Data Science and Data Engineering disciplines.
• Leverages intermediate level of knowledge of Data Science and Data Engineering and applies it to individual and team work products.
• Communicates complex information, both written and verbal, to technical and non-technical audiences in routine situations.

Basic Qualifications

• Bachelor’s degree in Computer Science, Applied Mathematics, Statistics, Data Science, or related field with 2 years of relevant experience.
• Hands-on proficiency with advanced Data Science techniques, including Machine Learning (e.g., supervised, unsupervised, deep learning, reinforcement learning), anomaly detection, statistical analysis, and/or analysis of very large datasets.
• Computer programming skills (e.g., Python, R, C/C++, Java, Scala, Julia, Rust, MATLAB).
• The ability to obtain and maintain a DoD Top Secret clearance within 12 months of hire.
• Per the U.S. Government’s eligibility requirements, you must be a U.S Citizen to be considered for a security clearance.
• This position requires a minimum of 50% hybrid on-site.

Preferred Qualifications

• Master’s degree in Computer Science, Applied Mathematics, Statistics, Data Science, or related field.
• Active DoD Top Secret Clearance.

Salary

$98,800 - $123,500 - $148,200 Annual

Work Location

Hybrid

Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.

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